Abstract is missing.
- Feasibility of MLOps-based Healthcare Pipelines in Ensuring the Cybersecurity FrameworkAntonio Robustelli, Alberto Marfoglia, Christian D'Errico, Sabato Mellone, Antonella Carbonaro. 1-12 [doi]
- Towards a Process Reference Model for Machine Learning Applications: Challenges and OpportunitiesAntonio Crespí Tobeña, Maria Monserrat Barceló, Antònia Mas Pichaco, Antoni Lluís Mesquida Calafat. 13-24 [doi]
- A LLMOps-Driven Framework for Clinical Data HarmonizationAlberto Marfoglia, Antonio Robustelli, Christian D'Errico, Sabato Mellone, Antonella Carbonaro. 25-36 [doi]
- Detecting Semantic Data Smells with BERT: A Transformer-Based Approach to Data QualityGilberto Recupito, Giammaria Giordano, Dario Di Nucci, Fabio Palomba. 37-47 [doi]
- Automated Code Translation using an Engineering-Driven Pipeline Approach of Language ModelsTibo Bruneel, Welf Löwe, Morgan Ericsson, Jonas Nordqvist, Diego Perez-Palacin. 48-54 [doi]
- SkeltyMLOps: Orchestrating Collaborative MLOps ActivitiesCharbel Daoud, Danielle Azar, Julie Boiché, Christelle Urtado, Sylvain Vauttier. 55-66 [doi]
- Towards a Structured AI Development Lifecycle for Reusable AI Products in the Public SectorAlbana Celepija, Bruno Lepri, Raman Kazhamiakin. 67-79 [doi]
- MLOps-Driven Automation of Regulatory Documentation for AI-Based Medical SoftwareFabrizio Rosmarino, Giulio Mallardi, Luigi Quaranta, Filippo Lanubile. 80-84 [doi]
- A Serverless Cloud-to-Thing Framework for TinyMLOps WorkflowsDavide Loconte, Saverio Ieva, Agnese Pinto, Filippo Gramegna, Giuseppe Loseto, Floriano Scioscia, Michele Ruta. 85-96 [doi]
- Disentangled Latent Space-based Drift Detection for Efficient Model Monitoring in Edge MLOpsLara Luys, Mathias Verbeke. 97-109 [doi]